keras

T81-558: Keras - Applications of Deep Neural Networks @Washington University in St. Louis

Deep Reinforcement Learning for Keras.

Neural network 3D visualization framework, build interactive and intuitive model in browsers, support pre-trained deep learning models from TensorFlow, Keras, TensorFlow.js

Keras model to generate HTML code from hand-drawn website mockups. Implements an image captioning architecture to drawn source images.

A comprehensive machine learning repository containing 30+ notebooks on different concepts, algorithms and techniques.

Run Keras models in the browser, with GPU support using WebGL

Easily train your own text-generating neural network of any size and complexity on any text dataset with a few lines of code.

🔎 Super-scale your images and run experiments with Residual Dense and Adversarial Networks.

A clean implementation based on AlphaZero for any game in any framework + tutorial + Othello/Gobang/TicTacToe/Connect4 and more

In this repository, I will share some useful notes and references about deploying deep learning-based models in production.

Model summary in PyTorch similar to `model.summary()` in Keras

A comprehensive list of Deep Learning / Artificial Intelligence and Machine Learning tutorials - rapidly expanding into areas of AI/Deep Learning / Machine Vision / NLP and industry specific areas such as Climate / Energy, Automotives, Retail, Pharma, Medicine, Healthcare, Policy, Ethics and more.

AI Infra / AI Orchestration / AI Control Plane

A high performance and generic framework for distributed DNN training

🧠💬 Articles I wrote about machine learning, archived from MachineCurve.com.

.NET Standard bindings for Google's TensorFlow for developing, training and deploying Machine Learning models in C# and F#.

The convertor/conversion of deep learning models for different deep learning frameworks/softwares.

Determined is an open-source machine learning platform that simplifies distributed training, hyperparameter tuning, experiment tracking, and resource management. Works with PyTorch and TensorFlow.

Sandbox for training deep learning networks

Neural network visualization toolkit for keras